Guest Lecture by Dr. Bai Shurui Tiffanys

This presentation discusses three recent studies on how humans and generative artificial
intelligence collaborate in design problem solving. Design problem solving (DPS) is an iterative
process that moves from defining ambiguous goals to developing actionable plans. Because DPS is
open-ended, it presents significant challenges—there are often no single correct answers.
Traditional classrooms frequently struggle to provide immediate, individualized feedback for
such complex tasks. However, AI chatbots have the potential to deliver customized guidance and
support. Common examples of DPS include instructional design and educational video creation.
The first study examines how instructional design learning is enhanced by comparing scaffolding
from a 5E instructional model-informed AI chatbot with that from a human teacher. 

Dr. Bai Shurui Tiffany is an Assistant Professor with the Department of Mathematics and Information
T echnology, Education University of Hong Kong, Hong Kong. Her research focuses on the innovative
integration of artificial intelligence in education, with particular emphasis on adaptive feedback, gamification,
and scenario-based learning. She leads a Germany/Hong Kong Joint Research Scheme project investigating
how AI-enabled automated adaptive feedback influences students’ motivational and cognitive learning
outcomes. Dr. Bai’s contributions to teaching have also been recognized. She received the President’s
Award for Outstanding Performance in T eaching (Early Career Faculty Member Category) for 2024/25.

Where and when? 19.08.25, 9 a.m. * Leopoldstr. 13, Room 1305 or via Zoom: https://lmu-munich.zoom-x.de/my/melissaoezsoy?pwd=THN2cmJOTFpKTmw3ZUI4OUl2RnN4QT09